AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
We have 3 of 9 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
Evaluated on two reasoning domains, math and multi-hop reasoning, across 1-8B models from different families, LoT consistently improves over KD and converges faster than staged curricula, highlighting the value of adaptive progression.
This study introduces TrustReviewer, an open-source LLM-based system for generating peer reviews of AI and machine learning papers and describes a concrete risk of recursive reviewer training and provides practical interventions for preserving judgment diversity and improving recommendation alignment in AI-assisted sci...
This work introduces $\beta$-OPSD and derives its optimal policy as a geometric interpolation between the reference policy and the privileged teacher, and provides a principled route from self-distillation to policy optimization and back without sacrificing the efficiency that makes OPSD practical.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.